R help - Sep 2008 - quantile regression: plotting coefficients on only one variable (rq)

Dear all.

I have a question on plotting the coefficients from a series of mutivariate
quantile regressions.  The following code plots the coefficients for each
RHS variable x1 and x2. Is there a way to plot only the coefficients on x1?
In the data I am using, I have a large number of fixed effects and do want
to plot the coefficients on these fixed effects.


    quant.plot <- summary(rq(paste("y ~ x1 + x2"), tau=1:9/10))
    postscript(file=paste(output.dir, "plot.eps", sep="/"),
            paper="special",
            width=10,
            height=10,
            horizontal=FALSE)

    plot(quant.plot)

Best
Michael

	[[alternative HTML version deleted]]

Hi Michael,

It's in the manual:

?plot.summary.rqs

plot(summary(rq(..., tau=c(...)), parm = x1, ...)

Regards, Mark.


Michael Faye wrote:
> 
> Dear all.
> 
> I have a question on plotting the coefficients from a series of
> mutivariate
> quantile regressions.  The following code plots the coefficients for each
> RHS variable x1 and x2. Is there a way to plot only the coefficients on
> x1?
> In the data I am using, I have a large number of fixed effects and do want
> to plot the coefficients on these fixed effects.
> 
> 
>     quant.plot <- summary(rq(paste("y ~ x1 + x2"),
tau=1:9/10))
>     postscript(file=paste(output.dir, "plot.eps",
sep="/"),
>             paper="special",
>             width=10,
>             height=10,
>             horizontal=FALSE)
> 
>     plot(quant.plot)
> 
> Best
> Michael
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 
-- 
View this message in context:
http://www.nabble.com/quantile-regression%3A-plotting-coefficients-on-only-one-variable-%28rq%29-tp19633899p19634794.html
Sent from the R help mailing list archive at Nabble.com.